{"id":"W2954485339","doi":"10.2196/14655","title":"Specialized Smartphone Intervention Apps: Review of 2014 to 2018 NIH Funded Grants","year":2019,"lang":"en","type":"review","venue":"JMIR mhealth and uhealth","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"mHealth; Psychological intervention; Intervention (counseling); Medical education; Psychology; Internet privacy; Medicine; Computer science; Nursing","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.007497203,0.0008436695,0.001864214,0.01176531,0.0006129366,0.002256952,0.001832201,0.001431834,0.007138867],"category_scores_gemma":[0.04073707,0.000616633,0.002504341,0.009844583,0.0007730334,0.002806908,0.002124131,0.001718792,0.001131715],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002846939,"about_ca_system_score_gemma":0.0116522,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005355587,"about_ca_topic_score_gemma":0.01255637,"domain_scores_codex":[0.994892,0.00122086,0.00170535,0.0003991772,0.001513074,0.000269448],"domain_scores_gemma":[0.9592696,0.02739712,0.005691033,0.0004343451,0.006403582,0.0008043048],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002661228,0.00009284335,0.000900906,0.1512786,0.0005394358,0.000180071,0.0005670339,0.00009820353,0.0003379227,0.001191411,0.02566394,0.8188837],"study_design_scores_gemma":[0.0001825257,0.0004234793,0.0136732,0.4250255,0.004151782,0.0009257135,0.0008591959,0.0001212353,0.00064345,0.0006863862,0.5532451,0.00006236242],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00113655,0.9939049,0.0001966355,0.001423944,0.0004402028,0.0001399944,0.000442984,0.00002239838,0.002292372],"genre_scores_gemma":[0.004802912,0.9925972,0.0005303328,0.0008902705,0.0002084649,0.0002399078,0.0003693996,0.0000121637,0.0003491841],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9925028,"threshold_uncertainty_score":0.03964949,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2141379468841099,"score_gpt":0.5506883492604273,"score_spread":0.3365504023763174,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}